openmedical/registry
← registry

MIPCandy

imported

software/mipcandy

Build a complete experiment pipeline for your PyTorch MIP model in 10 seconds.

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
ProjectNeura
Country
unknown
Documentation
unknown
Tags
classification · computer-vision · ct · deep-learning · detection · machine-intelligence · machine-learning · medical-ai
Regulatory
unknown
built by · 2

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • kaggle-rsnaclassification · detection

    Deep Learning for Automatic Pneumonia Detection, RSNA challenge

  • Nodule-CADxclassification · detection

    Pulmonary nodules computer-aided diagnosis demo system.

  • brain-tumor-mri-datasetclassification · detection

    Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.

  • BiaPyclassification · computer-vision

    Open source Python library for building bioimage analysis pipelines

  • FFR-Estimationclassification · computer-vision

    Non-Invasive Fractional Flow Reserve Estimation using Deep Learning on Intermediate Left Anterior Descending Coronary Artery Lesion Angiography Images

  • ✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung…

sources
  1. api.github.com/repos/ProjectNeura/MIPCandy
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-09, 294 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/58.json→ .entries["mipcandy"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.